According to an aspect of some embodiments of the present invention there is provided a system for imaging of objects in a scene. The system contains a hardware processor, or multiple hardware processors, which execute(s) code for: receiving, from a first sensor, image or images depicting an object or objects, where the object(s) include(s) an autonomous navigation system that controls a course of the object(s) in space, predicting a spatiotemporal profile of the object(s) within the image(s), and generating instructions for execution by a second sensor for capturing an image of the object(s) at a time and location corresponding to the spatiotemporal profile.
Legal claims defining the scope of protection, as filed with the USPTO.
2. The system of claim 1, wherein each respective spatiotemporal profile is associated with a probability value indicative of likelihood of the respective object being present at the future time and spatial location, wherein the scheduling is optimized according to the probability values of the plurality of spatiotemporal profiles.
3. The system of claim 1, wherein each respective spatiotemporal profile is associated with an estimated image quality of an image of the respective object when captured by said single second sensor at a corresponding future time and spatial location.
4. The system of claim 1, wherein a plurality of second sensors are located at a plurality of spaced apart spatial locations and/or at a plurality of viewing angles, and the scheduling is performed for capturing the at least one image of each object using a respective second sensor of the plurality of second sensors for meeting a set of image quality rules.
6. The system of claim 1, wherein sequentially capturing an image of said each of said maximum number of different objects is by imaging by the single second sensor different objects at different spatial locations and/or different times by sweeping the single second sensor from a first direction to a second direction, first objects appearing at the first direction at a first time point are scheduled followed by objects appearing in the second direction at a second time point later than said first time point.
7. The system of claim 1, wherein said different objects are persons and wherein said hardware processor further executing code for analyzing using biometric analysis said at least one image of each of said maximum number of different persons captured by said single second sensor to identify said different persons.
8. The system of claim 1, wherein said different objects are vehicles and wherein said hardware processor further executing code for analyzing said at least one image of each of said maximum number of different vehicles captured by said single second sensor to identify license plates of said different vehicles.
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November 6, 2019
October 25, 2022
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